Ludovic Darmet

Ludovic Darmet
ISAE-Supaero · DCAS - Human Factor

Doctor of Philosophy

About

14
Publications
897
Reads
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22
Citations
Citations since 2017
14 Research Items
22 Citations
201720182019202020212022202302468101214
201720182019202020212022202302468101214
201720182019202020212022202302468101214
201720182019202020212022202302468101214

Publications

Publications (14)
Article
Full-text available
Steady-States Visually Evoked Potentials (SSVEP) refer to the sustained rhythmic activity observed in surface electroencephalography (EEG) in response to the presentation of repetitive visual stimuli (RVS). Due to their robustness and rapid onset, SSVEP have been widely used in Brain Computer Interfaces (BCI). However, typical SSVEP stimuli are str...
Article
Full-text available
The present study proposes a novel concept of neuroadaptive technology, namely a dual passive-reactive Brain-Computer Interface (BCI), that enables bi-directional interaction between humans and machines. We have implemented such a system in a realistic flight simulator using the NextMind classification algorithms and framework to decode pilots' int...
Article
Full-text available
As is the case in several research domains, data sharing is still scarce in the field of Brain-Computer Interfaces (BCI), and particularly in that of passive BCIs-i.e., systems that enable implicit interaction or task adaptation based on a user's mental state(s) estimated from brain measures. Moreover, research in this field is currently hindered b...
Article
Full-text available
Transfer from experiments in the laboratory to real-life tasks is challenging due notably to the inability to reproduce the complexity of multitasking dynamic everyday life situations in a standardized lab condition and to the bulkiness and invasiveness of recording systems preventing participants from moving freely and disturbing the environment....
Preprint
Full-text available
The present study proposes a novel concept of neuroadaptive technology, namely a dual passive-reactive Brain-Computer Interface (BCI), that enables bi-directional interaction between humans and machines. We have implemented such a system in a realistic flight simulator using the NextMind classification algorithms and framework to decode pilots' int...
Preprint
Transfer from experiments in laboratory to real-life tasks is challenging due notably to the inability to reproduce the complexity of multitasking dynamic everyday life situations in a standardized lab condition, and to the bulkiness and invasiveness of recording systems preventing participants from moving freely and disturbing the environment. Her...
Conference Paper
Full-text available
Steady-States Visually Evoked Potentials (SSVEP) is currently one of the most widely used paradigms in Brain-Computer Interfaces (BCI). Although the SSVEP-BCI are characterized by their high and robust classification performance, the repetitive presentation of flickering stimuli is uncomfortable from a user experience perspective point of view. Ind...
Presentation
Full-text available
The Steady-States Evoked Potentials (SSVEP) characterize neural responses to the presentation of periodic visual stimuli, with specific frequency. The sustained rhythmic entrainment of visual cortex neuronal populations to the frequency of the stimuli can be recorded with surface electroencephalography (EEG). Brain Computer Interface (BCI) applicat...
Article
Full-text available
Copy-move is a very popular image falsification where a semantically coherent part of the image, the source area, is copied and pasted at another position within the same image as the so-called target area. The majority of existing copy-move detectors search for matching areas and thus identify the source and target zones indifferently, while only...
Thesis
Images are nowadays a standard and mature medium of communication. They appear in our day to day life and therefore they are subject to concernsabout security. In this work, we study different methods to assess the integrity of images. Because of a context of high volume and versatility of tampering techniques and image sources, our work is driven...
Article
Full-text available
A large number of methods for forensics of image manipulation relies on detecting fingerprints in residuals or noises. Therefore, these detection methods are bound to be sensitive to noise generated by the image acquisition process, as well as any pre-processing.We show that a difference in preprocessing pipelines between training and testing sets...
Chapter
Full-text available
Basic image processing operations like median filtering and Gaussian blurring in general do not change the semantic content of an image, although they are commonly used to cover fingerprints of falsification that does alter image content such as copy-move and splicing. Therefore image forensics researchers are interested in detecting these basic op...

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